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Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
v1v2v3v4 (latest)

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations

International Conference on Learning Representations (ICLR), 2016
3 June 2016
David M. Krueger
Tegan Maharaj
János Kramár
Mohammad Pezeshki
Nicolas Ballas
Nan Rosemary Ke
Anirudh Goyal
Yoshua Bengio
Aaron Courville
C. Pal
ArXiv (abs)PDFHTML

Papers citing "Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations"

30 / 180 papers shown
GLSR-VAE: Geodesic Latent Space Regularization for Variational
  AutoEncoder Architectures
GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures
Gaëtan Hadjeres
Frank Nielsen
F. Pachet
DRL
197
68
0
14 Jul 2017
Video Representation Learning and Latent Concept Mining for Large-scale
  Multi-label Video Classification
Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification
Po-Yao (Bernie) Huang
Ye Yuan
Zhenzhong Lan
Lu Jiang
Alexander G. Hauptmann
95
8
0
05 Jul 2017
Hierarchical Attentive Recurrent Tracking
Hierarchical Attentive Recurrent Tracking
Adam R. Kosiorek
Alex Bewley
Ingmar Posner
VOS
144
61
0
28 Jun 2017
Learning Hierarchical Information Flow with Recurrent Neural Modules
Learning Hierarchical Information Flow with Recurrent Neural Modules
Danijar Hafner
A. Irpan
James Davidson
N. Heess
119
9
0
18 Jun 2017
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation
Learning End-to-end Multimodal Sensor Policies for Autonomous NavigationConference on Robot Learning (CoRL), 2017
Guan-Horng Liu
Avinash Siravuru
Sai P. Selvaraj
Manuela Veloso
George Kantor
170
71
0
30 May 2017
Fast-Slow Recurrent Neural Networks
Fast-Slow Recurrent Neural Networks
Asier Mujika
Florian Meier
Angelika Steger
285
77
0
24 May 2017
Efficiently applying attention to sequential data with the Recurrent
  Discounted Attention unit
Efficiently applying attention to sequential data with the Recurrent Discounted Attention unit
B. Maginnis
Pierre Harvey Richemond
AI4TS
98
1
0
23 May 2017
Learning to Create and Reuse Words in Open-Vocabulary Neural Language
  Modeling
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling
Kazuya Kawakami
Chris Dyer
Phil Blunsom
KELM
141
34
0
23 Apr 2017
Snapshot Ensembles: Train 1, get M for free
Snapshot Ensembles: Train 1, get M for free
Gao Huang
Shouqing Yang
Geoff Pleiss
Zhuang Liu
John E. Hopcroft
Kilian Q. Weinberger
OODFedMLUQCV
575
1,032
0
01 Apr 2017
Learning Simpler Language Models with the Differential State Framework
Learning Simpler Language Models with the Differential State Framework
Alexander Ororbia
Tomas Mikolov
David Reitter
AI4TS
237
65
0
26 Mar 2017
One-Shot Imitation Learning
One-Shot Imitation Learning
Yan Duan
Marcin Andrychowicz
Bradly C. Stadie
Jonathan Ho
Jonas Schneider
Ilya Sutskever
Pieter Abbeel
Wojciech Zaremba
OffRL
316
721
0
21 Mar 2017
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term
  Dependencies
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term DependenciesInternational Conference on Learning Representations (ICLR), 2017
R. DiPietro
Christian Rupprecht
Nassir Navab
Gregory Hager
331
26
0
24 Feb 2017
Memory Augmented Neural Networks with Wormhole Connections
Memory Augmented Neural Networks with Wormhole Connections
Çağlar Gülçehre
A. Chandar
Yoshua Bengio
154
64
0
30 Jan 2017
Shortcut Sequence Tagging
Shortcut Sequence TaggingNatural Language Processing and Chinese Computing (NLPCC), 2017
Huijia Wu
Jiajun Zhang
Chengqing Zong
116
2
0
03 Jan 2017
Areas of Attention for Image Captioning
Areas of Attention for Image Captioning
M. Pedersoli
Thomas Lucas
Cordelia Schmid
Jakob Verbeek
290
215
0
03 Dec 2016
Parameter Compression of Recurrent Neural Networks and Degradation of
  Short-term Memory
Parameter Compression of Recurrent Neural Networks and Degradation of Short-term Memory
Jonathan A. Cox
148
6
0
02 Dec 2016
Deep Biaffine Attention for Neural Dependency Parsing
Deep Biaffine Attention for Neural Dependency Parsing
Timothy Dozat
Christopher D. Manning
396
1,281
0
06 Nov 2016
Quasi-Recurrent Neural Networks
Quasi-Recurrent Neural Networks
James Bradbury
Stephen Merity
Caiming Xiong
R. Socher
380
464
0
05 Nov 2016
Deep Convolutional Neural Network Design Patterns
Deep Convolutional Neural Network Design Patterns
L. Smith
Nicholay Topin
AI4CEOOD
200
60
0
02 Nov 2016
Surprisal-Driven Zoneout
Surprisal-Driven Zoneout
K. Rocki
Tomasz Kornuta
Tegan Maharaj
269
8
0
24 Oct 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
748
1,794
0
27 Sep 2016
Multiplicative LSTM for sequence modelling
Multiplicative LSTM for sequence modelling
Ben Krause
Liang Lu
Iain Murray
Steve Renals
365
219
0
26 Sep 2016
Pointer Sentinel Mixture Models
Pointer Sentinel Mixture Models
Stephen Merity
Caiming Xiong
James Bradbury
R. Socher
RALM
1.0K
3,505
0
26 Sep 2016
Hierarchical Multiscale Recurrent Neural Networks
Hierarchical Multiscale Recurrent Neural Networks
Junyoung Chung
Sungjin Ahn
Yoshua Bengio
BDL
414
548
0
06 Sep 2016
Surprisal-Driven Feedback in Recurrent Networks
Surprisal-Driven Feedback in Recurrent Networks
K. Rocki
279
14
0
22 Aug 2016
Recurrent Memory Array Structures
Recurrent Memory Array Structures
K. Rocki
167
18
0
11 Jul 2016
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes
Çağlar Gülçehre
A. Chandar
Dong Wang
Yoshua Bengio
298
65
0
30 Jun 2016
Gaussian Error Linear Units (GELUs)
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
976
6,140
0
27 Jun 2016
Swapout: Learning an ensemble of deep architectures
Swapout: Learning an ensemble of deep architectures
Saurabh Singh
Derek Hoiem
David A. Forsyth
BDL3DPCOODUQCV
172
156
0
20 May 2016
Recurrent Batch Normalization
Recurrent Batch Normalization
Tim Cooijmans
Nicolas Ballas
César Laurent
Çağlar Gülçehre
Aaron Courville
ODL
625
414
0
30 Mar 2016
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